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Moving Human Head Detection for Automatic Passenger Counting System

  • Xiaowei Liu
  • Shasha Tian
  • Jiafu Jiang
  • Jing Shen
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 125)

Abstract

Moving human head detection is the basis of automatic passenger counting system and the speed and the detection accuracy of existing algorithms need to be improved. This paper puts forward a fast and effective algorithm for detecting moving human head. At first, the background is updated by block symmetric difference, then, the moving objects are extracted by culminating symmetric difference and background subtraction, finally, the human head contours are detected using the random Hough transform based on gradient. Experimental results show that this algorithm can detect moving human heads against illumination level changes and extraneous motion efficiently in automatic passenger counting system.

Keywords

Human Head Gaussian Mixture Model Background Subtraction Moving Object Video Surveillance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Xiaowei Liu
    • 1
  • Shasha Tian
    • 1
  • Jiafu Jiang
    • 1
  • Jing Shen
    • 1
  1. 1.Changsha University of Science & TechnologyChangshaChina

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